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Modal split analysis for the journey to work

The choice of travel mode for the journey to work is an important aspect in the planning of adequate transportation systems in urban areas. This choice process is complex and consequently a generalized theoretical basis for modal choice is difficult to construct. Nevertheless, empirical modeling of...

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Bibliographic Details
Main Author: Aplin, William Neil
Other Authors: King, W H
Format: Thesis
Language:English
Published: Department of Civil Engineering 2016
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Summary:The choice of travel mode for the journey to work is an important aspect in the planning of adequate transportation systems in urban areas. This choice process is complex and consequently a generalized theoretical basis for modal choice is difficult to construct. Nevertheless, empirical modeling of modal choice behaviour has enabled transportation planners to predict future travel demands for different modes. Furthermore, such models have led to a body of knowledge which has allowed researchers to explore the modal choice decision on a more theoretical basis. This study involves the analysis of the modal choice process for White commuters in Cape Town. The investigation of the role of modal split in transportation planning is provided to illustrate the relevance of this sub-process in the overall transportation planning process. An investigation of some of the theoretical and applied literature in this field indicates, that to obtain suitable and simple planning tools for modal split analysis, an empirical approach to modelling is probably the best alternative. The theoretical approaches are still in an embryonic stage and require more research before they offer a practical solution to modal split modelling. The data collection technique used in this study involved the distribution of a questionnaire survey to a sample of employees at their workplace. The technique provided an excellent response rate and can be performed with a minimum of resources. Other detailed travel time studies are described and once again all appreciable amount of data was able to be collected with a minimum of funds and manpower.